Correlation Between China Securities and China Singapore
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By analyzing existing cross correlation between China Securities 800 and China Singapore Suzhou Industrial, you can compare the effects of market volatilities on China Securities and China Singapore and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in China Securities with a short position of China Singapore. Check out your portfolio center. Please also check ongoing floating volatility patterns of China Securities and China Singapore.
Diversification Opportunities for China Securities and China Singapore
0.34 | Correlation Coefficient |
Weak diversification
The 3 months correlation between China and China is 0.34. Overlapping area represents the amount of risk that can be diversified away by holding China Securities 800 and China Singapore Suzhou Industr in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on China Singapore Suzhou and China Securities is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on China Securities 800 are associated (or correlated) with China Singapore. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of China Singapore Suzhou has no effect on the direction of China Securities i.e., China Securities and China Singapore go up and down completely randomly.
Pair Corralation between China Securities and China Singapore
Assuming the 90 days trading horizon China Securities 800 is expected to generate 0.58 times more return on investment than China Singapore. However, China Securities 800 is 1.72 times less risky than China Singapore. It trades about -0.28 of its potential returns per unit of risk. China Singapore Suzhou Industrial is currently generating about -0.36 per unit of risk. If you would invest 429,325 in China Securities 800 on October 8, 2024 and sell it today you would lose (25,583) from holding China Securities 800 or give up 5.96% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
China Securities 800 vs. China Singapore Suzhou Industr
Performance |
Timeline |
China Securities and China Singapore Volatility Contrast
Predicted Return Density |
Returns |
China Securities 800
Pair trading matchups for China Securities
China Singapore Suzhou Industrial
Pair trading matchups for China Singapore
Pair Trading with China Securities and China Singapore
The main advantage of trading using opposite China Securities and China Singapore positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if China Securities position performs unexpectedly, China Singapore can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in China Singapore will offset losses from the drop in China Singapore's long position.The idea behind China Securities 800 and China Singapore Suzhou Industrial pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.
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Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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